Latest AI and machine learning research in ethics for healthcare professionals.
Non-interferometric quantitative phase imaging based on Transport of Intensity Equation (TIE) has been widely used in bio-medical imaging. However, analytic TIE phase retrieval is prone to low-spatial frequency noise amplification, which is caused by the illposedness of inversion at the origin of the spectrum. There are also retrieval ambiguities resulting from the lack of sensitivity to the curl ...
Artificial intelligence (AI) in cardiology represents a great opportunity, if further developed in a trustworthy way, to support human intelligence in daily practice. AI could help cardiologists to operate with greater efficacy and efficiency, supporting precision, timeliness, ethics, while meeting all patients' needs. AI, however, is not yet so widely diffused in cardiology and important challeng...
Artificial intelligence (AI) is one of the most rapidly evolving fields in biomedicine during the past decade. Represented by radiomics, machine learn...
Early diagnosis and intervention are clinically con-sidered the paramount part of treating cerebral palsy (CP), so it is essential to design an effici...
With the explosive growth of deep learning and big data technology, artificial intelligence has penetrated into various fields of medical and health c...
Recent advances in the science and technology of artificial intelligence (AI) and growing numbers of deployed AI systems in healthcare and other servi...
The author presents his view of the start of clinical medical ethics and ideas on where the broader field of bioethics is heading. In addition to clin...
The application of machine-learning technologies to medical practice promises to enhance the capabilities of healthcare professionals in the assessmen...
It is difficult to effectively distinguish the key information of non-stationary dynamic signals in many engineering applications, such as fault detec...
The so-called "opacity" of artificial intelligence (AI), the black box model, raises concerns about the increasing use in relevant and critical areas ...
, Lecturer in Law, Birmingham Law School, University of Birmingham, discusses some recent reports on artificial intelligence (AI) and machine learning...
The rapid development of artificial intelligence (AI) and digital health raise concerns about equitable access to innovative interventions, appropriat...
Digitalization in nephrology has progressed in a manner that is disparate and siloed, even though learning (under a broader Learning Health System ini...
In the 21 century, while some people seek to use artificial intelligence for health services delivery, others have to surrender their health rights to...
Accumulating evidence demonstrates the impact of bias that reflects social inequality on the performance of machine learning (ML) models in health car...
This paper surveys the state-of-the-art in machine ethics, that is, considerations of how to implement ethical behaviour in robots, unmanned autonomou...
Aicardi et al. (Ethical and social aspects of neurorobotics, Science and Engineering Ethics, 2020) look to neuroscience to mitigate the limitations of...
Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicine. The most important qualia of AI which makes it ...
Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and to transform healthcare. In radiology, AI is about...
Medical artificial intelligence is a deeply integrated field of production-university-research. The collaborative innovation system of "industry, educ...